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A general and transferable deep learning framework for predicting phase formation in materials

Research article (npj Computational Materials, 2021) · cited 86× · AI/ML
academia openalex:W3121591497
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A general and transferable deep learning framework for predicting phase formation in materials

Summary

A general and transferable deep learning framework for predicting phase formation in materials is a scholarly article[1].

Key Facts

  • A general and transferable deep learning framework for predicting phase formation in materials's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). A general and transferable deep learning framework for predicting phase formation in materials. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-general-and-transferable-deep-learning-framework-for-predicting-phase-formation-in-materials
MLA “A general and transferable deep learning framework for predicting phase formation in materials.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-general-and-transferable-deep-learning-framework-for-predicting-phase-formation-in-materials.
BibTeX @misc{4ortxyz_a-general-and-transferable-deep-learning-framework-for-predicting-phase-formation-in-materials_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A general and transferable deep learning framework for predicting phase formation in materials}}, year = {2026}, url = {https://4ort.xyz/entity/a-general-and-transferable-deep-learning-framework-for-predicting-phase-formation-in-materials}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A general and transferable deep learning framework for predicting phase formation in materials — https://4ort.xyz/entity/a-general-and-transferable-deep-learning-framework-for-predicting-phase-formation-in-materials (retrieved 2026-05-24)

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